damviv/gnssbasedcontextdetection

GNSS Based Context Detection

The database used for the paper "GNSS-based environmental context detection for navigation" Florent FERIOL, Damien VIVET and Yoko WATANABE.

Authors are with ISAE-SUPAERO, Université de Toulouse and ONERA

Contact: [email protected] https://www.researchgate.net/profile/Florent_Feriol2

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DATA The four .mat files contain the gnss recordings of the Ublox EVK-M8T. The date and hour are given in the filename. All the variables are divided in 5 different messages. If the number of samples is not the same for each messages perform a synchronization with TOW/rostime.

Each GTxxxx.csv file include the ground truth used for training with:

0: Static point (to be filtered) 1: Urban 2: Canyon 3: Trees 4: Open-sky

Each GTxxxx_test.csv file include the ground truth used for testing with the same values than for training.

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FILTERING

As we mentioned in the article we filtered some parts of the trajectories to insure a spatial independance. Here are the coordinates for each context:

-Urban

lat_max=43.564518; lat_min=43.564044; long_max=1.474955; long_min=1.4745;

-Canyon

lat_max=43.564673; lat_min=43.564559; long_max=1.475521; long_min=1.475382;

-Trees

lat_max=43.564232; lat_min=43.563970; long_max=1.476777; long_min=1.476358;

-Open-sky

lat_max=43.565153; lat_min=43.564874; long_max=1.477229; long_min=1.476866;